The global affective computing market was worth US$ 54,002.2 million in 2022. As a result of the increasing adoption of affective computing in the healthcare and retail industry, the market is expected to reach US$ 12, 94,617.60 million by 2033, up from US$ 71,282.9 million in 2023.
Technological advancements and the growing adoption of electronic devices are expected to positively affect the growth of the market. A growing need for better security in numerous sectors and an increasing need for fraud detection in virtual assistants are driving the market upward.
AI products are expected to benefit greatly from the advancement in technologies, alongside the creation of smart equipment and software such as facial recognition and skin temperature detection. In turn, it is expected to increase the market value of affective computing tools in the coming decade.
A growing number of end-user industries are adopting connected devices, along with improvements in affective computing, which is expected to drive the market. It is anticipated that affective computing is expected to be widely adopted across diverse sectors in the coming years, propelling the market's development. These sectors include healthcare, market research, automotive, media & advertising, gaming, and e-learning.
Smart wearable devices are set to give the market a notable boost, alongside the emergence of new start-ups and increasing use by leading organizations of effective computing tools for studying and analyzing consumers' behaviors.
Healthcare industries are increasingly utilizing artificial intelligence in various surgeries. Various organizations have also adopted digital business continuity plans in the digital age.
With the proliferation of mobile devices and Internet penetration throughout the world, individuals are increasingly inclined to use digital technologies for staying connected globally. This has proliferated the market demand for facial recognition, speech recognition, and gesture recognition in the market.
The adoption of affective computing solutions allows organizations to counter the spread of viruses by using technologies such as facial recognition and temperature detection systems. The industry is heavily investing in research and development to develop analytical software that is expected to help them to identify outbreaks in the future.
| Attributes | Details |
|---|---|
| Affective Computing Market CAGR (2023 to 2033) | 33.6% |
| Affective Computing Industry CAGR (2018 to 2022) | 31.5% |
| Affective Computing Industry (2018) | US$ 18,032.2 million |
| Affective Computing Industry (2022) | US$ 54,002.2 million |
| Affective Computing Market (2023) | US$ 71,282.9 million |
| Affective Computing Market (2033) | US$ 12,94,617.60 million |
| Affective Computing Market Attraction | A rise in the adoption of advanced electronic devices, coupled with technological advancements, is expected to drive growth in the market during the forecast period. Voice-activated biometrics used for security purposes, sensors, and robotics all stimulate market growth. |
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The development of industry is anticipated to increase the performance of the affective computing system through technological advances such as streamlined computing, a better user interface, and the latest networking innovations.
Various sectors are looking for many secure products and the increasing need for virtual assistants that can detect fraudulent activity is creating growth in the market. In addition to affective computing, voice-activated biometrics are also contributing to the explosion of the market. As a result, the future of any company is projected to be affected by affective computing. It is going to have a big impact on productivity, human resource management, and organizational transitions.
Various market verticals around the world are now adopting emotion AI/affective computing solutions in the market. The advances in computing capacity, the development of new communications technologies, and the arrival of new solutions, such as artificial intelligence, have enabled opportunities to emerge that were previously inaccessible due to a lack of resources.
The growing use of virtual assistance in smart homes and the application of AI-based technologies to customer service are what are propelling the growth of this market. In the world of affective computing, there is a continuous growth of different software in the market for various industry verticals. This is further expected to stimulate the market growth for affective computing in the market.
Various end-user verticals are expected to adopt connected devices, and continuous advancements in enabling technologies are expected to fuel market growth during the forecast period.
The high implementation costs and technological issues related to compatibility are expected to restrict the market's growth. Most data collected on customer behavior is collected in a complex lab setting and is reflected in the behavior of customers through emotions and gestures. Due to these challenges, companies are building models for affective computing that address these challenges while identifying and making decisions from data accumulated.
Affective computing tends to incur high development costs, such as wearable computing and gesture recognition. In the current market situation, this appears to be the key stumbling block to growth. To remain competitive and increase their product offering, solution providers are now focusing hugely on technological partnerships.
Until affective computing is better understood, the AI emotion/affective computing market faces a big challenge. The technology sector has also received a lot of attention, but business leaders have not managed to distinguish it from the real thing. In addition, the economic and social implications of this technology are not yet fully understood. The presence of affective computing is ambiguous both in terms of its potential and its limits.
Principal Consultant
| Country/Region | North America |
|---|---|
| Value Share % (2022) | 32.2% |
| Country/Region | The United States |
|---|---|
| Value Share % (2022) | 18.4% |
North America is expected to hold a prominent market share for affective computing. The market for computing solutions in the United States is expected to account for a 32.3% CAGR during the forecast period. By 2033, the market is expected to be worth more than US$ 303.2 billion in the coming decades.
A rise in the number of research and development projects and investments in this region is expected to increase the market demand for affective computing in the market. A market for AI-based technologies and next-generation equipment on a large scale has boosted the market demand for affective computing in this region.
Economic growth and the increasing use of robotics in this region have greatly stimulated the market demand for affective computing in this region.
| Country/Region | China CAGR (2023 to 2033) |
|---|---|
| Value Share % (2022) | 34.3% |
| Country/Region | India CAGR (2023 to 2033) |
|---|---|
| Value Share % (2022) | 30.2% |
| Country/Region | Japan Market Share (2022) |
|---|---|
| Value Share % (2022) | 5.5% |
Asia Pacific is expected to dominate the affective computing market during the forecast period. The Asian Pharmaceutical and Biotechnology industry is expected to grow considerably in the coming years due to the increasing adoption of the latest technological advances across the region as well as the emergence of economies in China and India. The market is expected to see revenue growth of 34.3% CAGR in China during the forecast period.
The market for affective computing in China is expected to reach US$ 66.9 billion by 2033. With a growing market for smart wearables in China as well as various initiatives for electronic devices, affective computing is gaining traction in this region.
According to the forecast, the economy of Japan is anticipated to expand at a CAGR of 31.2% from 2023 to 2033. As industrial production increases and IT technologies expand in this area, market demand for affective computing is expected to grow.
The development of sensors and cameras in this region is expected to lead to growth in affective computing. Market value in South Korea is expected to reach US$ 33.8 billion during the forecast period. A CAGR of 30.2% is predicted for the market during the forecast period.
High-tech healthcare infrastructures and booming e-commerce companies are fueling the development of affective computing. As smart cities and smart homes continue to grow in popularity in this region, there is likely to be an increase in market demand for affective computing in this region.
| Country/Region | Europe Market Share (2022) |
|---|---|
| Value Share % (2022) | 23.2% |
| Country/Region | Germany’s Market Share (2022) |
|---|---|
| Value Share % (2022) | 10.5% |
| Country/Region | The United Kingdom CAGR (2023 to 2033) |
|---|---|
| Value Share % (2022) | 32.3% |
During the forecast period, the artificial intelligence market for affective computing in the United Kingdom is projected to expand at a compound annual growth rate of 32.3% during the period. Due to the emergence and development of artificial intelligence and machine learning technologies, affective computing is anticipated to experience high demand in this area.
The market demand for affective computing is growing notably due to the increasing popularity of innovative new products for voice processing and speech recognition.
Key players in the market are raising their production capacity via strategic partnerships, and catering to consumer demand; thus, elevating their market share and revenue. The introduction of new products and technologies is expected to allow end-users to reap the benefits of new technologies.
Current Trends in Affective Computing:
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The affective computing industry is projected to reach a valuation of US$ 12, 94,617.60 million by 2033.
Microsoft and IBM Corporation are the top players in the affective computing industry.
The United States is projected to hold a sizeable market share over the forecast period.
The affective computing industry is projected to grow at a CAGR of 33.6%.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Components
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Components, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Components, 2023 to 2033
5.3.1. Software
5.3.1.1. Speech Recognition
5.3.1.2. Gesture Recognition
5.3.1.3. Facial Feature Extraction
5.3.1.4. Analytics Software
5.3.1.5. Enterprise Software
5.3.2. Hardware
5.3.2.1. Sensors
5.3.2.2. Cameras
5.3.2.3. Storage Devices and Processors
5.3.2.4. Others
5.4. Y-o-Y Growth Trend Analysis By Components, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Components, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technologies
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Technologies, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technologies, 2023 to 2033
6.3.1. Touch-based
6.3.2. Touchless
6.4. Y-o-Y Growth Trend Analysis By Technologies, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Technologies, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Verticals
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Verticals, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Verticals, 2023 to 2033
7.3.1. Academia and Research
7.3.2. Media and Entertainment
7.3.3. Government and Defense
7.3.4. Healthcare and Life Sciences
7.3.5. IT and Telecom
7.3.6. Retail and E-Commerce
7.3.7. Automotive
7.3.8. BFSI
7.3.9. Others
7.4. Y-o-Y Growth Trend Analysis By Verticals, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Verticals, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. South Asia
8.3.5. East Asia
8.3.6. Oceania
8.3.7. MEA
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Components
9.2.3. By Technologies
9.2.4. By Verticals
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Components
9.3.3. By Technologies
9.3.4. By Verticals
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Components
10.2.3. By Technologies
10.2.4. By Verticals
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Components
10.3.3. By Technologies
10.3.4. By Verticals
10.4. Key Takeaways
11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Europe
11.2.2. By Components
11.2.3. By Technologies
11.2.4. By Verticals
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Components
11.3.3. By Technologies
11.3.4. By Verticals
11.4. Key Takeaways
12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Malaysia
12.2.1.3. Singapore
12.2.1.4. Thailand
12.2.1.5. Rest of South Asia
12.2.2. By Components
12.2.3. By Technologies
12.2.4. By Verticals
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Components
12.3.3. By Technologies
12.3.4. By Verticals
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Components
13.2.3. By Technologies
13.2.4. By Verticals
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Components
13.3.3. By Technologies
13.3.4. By Verticals
13.4. Key Takeaways
14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. Australia
14.2.1.2. New Zealand
14.2.2. By Components
14.2.3. By Technologies
14.2.4. By Verticals
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Components
14.3.3. By Technologies
14.3.4. By Verticals
14.4. Key Takeaways
15. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Components
15.2.3. By Technologies
15.2.4. By Verticals
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Components
15.3.3. By Technologies
15.3.4. By Verticals
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Components
16.1.2.2. By Technologies
16.1.2.3. By Verticals
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Components
16.2.2.2. By Technologies
16.2.2.3. By Verticals
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Components
16.3.2.2. By Technologies
16.3.2.3. By Verticals
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Components
16.4.2.2. By Technologies
16.4.2.3. By Verticals
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Components
16.5.2.2. By Technologies
16.5.2.3. By Verticals
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Components
16.6.2.2. By Technologies
16.6.2.3. By Verticals
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Components
16.7.2.2. By Technologies
16.7.2.3. By Verticals
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Components
16.8.2.2. By Technologies
16.8.2.3. By Verticals
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Components
16.9.2.2. By Technologies
16.9.2.3. By Verticals
16.10. India
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Components
16.10.2.2. By Technologies
16.10.2.3. By Verticals
16.11. Malaysia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Components
16.11.2.2. By Technologies
16.11.2.3. By Verticals
16.12. Singapore
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Components
16.12.2.2. By Technologies
16.12.2.3. By Verticals
16.13. Thailand
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Components
16.13.2.2. By Technologies
16.13.2.3. By Verticals
16.14. China
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Components
16.14.2.2. By Technologies
16.14.2.3. By Verticals
16.15. Japan
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Components
16.15.2.2. By Technologies
16.15.2.3. By Verticals
16.16. South Korea
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Components
16.16.2.2. By Technologies
16.16.2.3. By Verticals
16.17. Australia
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Components
16.17.2.2. By Technologies
16.17.2.3. By Verticals
16.18. New Zealand
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Components
16.18.2.2. By Technologies
16.18.2.3. By Verticals
16.19. GCC Countries
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Components
16.19.2.2. By Technologies
16.19.2.3. By Verticals
16.20. South Africa
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Components
16.20.2.2. By Technologies
16.20.2.3. By Verticals
16.21. Israel
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Components
16.21.2.2. By Technologies
16.21.2.3. By Verticals
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Components
17.3.3. By Technologies
17.3.4. By Verticals
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. MICROSOFT
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. IBM
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. APPLE
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. QUALCOMM
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. INTEL
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. SONY DEPTHSENSING SOLUTIONS
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. AFFECTIVA
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. ELLIPTIC LABS
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. NUMENTA
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Eyeris
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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Affective Computing Market
